kernel-svm

There are 1 repository under kernel-svm topic.

srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datascience dataprocessing machine-learning-algorithms machine-learning-az simple-linear-regression multiple-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regressor classification-algorithims logistic-regression k-nearest-neighbors support-vector-machine kernel-svm naive-bayes-classifier decision-tree-classifier random-forest-classifier k-means-clustering k-means-implementation-in-python
Language:Python 363
subhadeep-123 / Breast-Cancer-Detection
Breast Cancer Wisconsin (Diagnostic) Prediction Using Various Architecture, though XgBoost Classifier out performed all
python breast-cancer-wisconsin logistic-regression support-vector-machines kernel-svm random-forest-classifier decision-tree-classifier k-nearest-neighbors artificial-neural-networks bernoulli-model machine-learning deep-learning xgboost
Language:Jupyter Notebook 9
mahesh147 / Kernel-SVM
Implementation of the Gaussian RBF Kernel in Support Vector Machine model.
kernel-svm support-vector-machine svc gaussian-rbf-kernel python3 machine-learning machine-learning-algorithms
Language:Python 6
KishanMistri / Music-Genre-Classification
Classification base on kernel SVM
machine-learning kernel-svm music-genre-classification extract pyaudioanalysis
Language:Python 5
ElefHead / kernel-svm
Numpy based implementation of kernel based SVM
svm kernel-svm svm-classifier kernel-svm-classifier kernel-methods rbf-kernel machine-learning machinelearning
Language:Python 4
Joycechidi / MachineLearning
All my Machine Learning Projects from A to Z in (Python & R)
datapreprocessing python r regression simple-linear-regression multiple-linear-regression support-vector-regression--svr polynomial-regression decision-tree-regression random-forest-regression evaluating-regression-models-perf regularization-methods classification logistic-regression k-nearest-neighbors-k-nn support-vector-machine-svm kernel-svm naive-bayes decision-tree-classification random-forest-classification
Language:Jupyter Notebook 4
kcg2015 / fiber_cuts_prediction
Time Series Analyses and Machine Learning for Classifying Events prior to Fiber Cuts
fiber fiber-cuts state-of-polarization sop telecommunications prediction classification time-series time-series-analysis time-series-classification multivariate-timeseries machine-learning-algorithms classification-model svm-classifier kernel-svm lstm-model convolutional-neural-networks machine-learning-application anomaly-detection autoencoder
Language:Jupyter Notebook 4
chen0040 / js-svm
Package provides javascript implementation of support vector machines
linear-svm support-vector-machines kernel-svm kernels binary-classification multi-class-classification
Language:JavaScript 3
sudeshnapal12 / Machine-Learning-algorithms-Matlab
Contains ML Algorithms implemented as part of CSE 512 - Machine Learning class taken by Fransico Orabona. Implemented Linear Regression using polynomial basis functions, Perceptron, Ridge Regression, SVM Primal, Kernel Ridge Regression, Kernel SVM, Kmeans.
ridge-regression svm kmeans perceptron kernel-svm kernel-ridge-regression
Language:TeX 3
dimgold / Machine_Learning_Course
Machine learning course at Tel-Aviv University, 2016
adaboost data-science kernel-svm knn machine-learning pca perceptron sgd svm
Language:Jupyter Notebook 2
dshah98 / Machine_Learning_with_Python
Full machine learning practical with Python.
linear-regression multiple-linear-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regression logistic-regression knn-classification support-vector-machine kernel-svm naive-bayes-classification decision-tree-classification random-forest-classification k-means-clustering hierarchical-clustering apriori-algorithm eclat-algorithm natural-language-processing artificial-neural-networks convolutional-neural-network
Language:Jupyter Notebook 2
dshah98 / Machine_Learning_with_R
Full machine learning practical with R.
linear-regression multiple-linear-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regression logistic-regression knn-classification support-vector-machine kernel-svm naive-bayes-classification decision-tree-classification random-forest-classification k-means-clustering hierarchical-clustering apriori-algorithm eclat-algorithm natural-language-processing artificial-neural-networks convolutional-neural-network
Language:R 2
urastogi885 / classify-it
Face recognition using various classifiers
adaboost bayes-classifier kernel-svm knn-classifier mdanalysis pca-analysis svm-classifier
Language:MATLAB 2
AminKhavari78 / Data-Science-handBook-
working with some of basic and advance machine learning in scikit-learn
classification gaussian-processes kernel-svm linear-regression naive-bayes plotting randomforestclassifier regression support-vector-machine maniflod
Language:Python 0
andersonpaac / Creddit
cReddit: Misinformation Assessment Tool for Comments from Reddit
machine-learning xgboost kernel-svm kpca reddit reddit-api-wrapper pushshift
Language:Python 0
bhavya840 / ML-Classification
In this project the data is been used from UCI Machinery Repository. Main aim of this project is to predict telling tumor of each patient is Benign (class – 2) or Malignant (class – 4) the models used are – Decision tree Classification, Logistic Regression, K-Nearest Neighbors, SVM, Kernel SVM, Naïve-Bayes and Random Forest Classification.
machine-learning-algorithms svm kernel-svm logistic-regression decision-tree-classification random-forest-classification naive-bayes-classifier knearest-neighbors
Language:Jupyter Notebook 0
Ddeepanshu-997 / Kernel-SVM-Classification
in this repository i am going to perform kernel SVM Classifcation on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Kernel SVM Classification.
data-science kernel kernel-svm kernel-svm-classifier machine-learning machine-learning-algorithms
Language:Jupyter Notebook 0
lanmar / Python---Wine-quality
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
cross-validation knn-classification knn standardization gridsearchcv python roc auroc knn-regression mse r2-score grid-search svm-kernel kernel-ridge kernel-svm kernel-svm-classifier kernel-ridge-regression
Language:Jupyter Notebook 0
najielhachem / Machine-Learning-Algorithms
Implementation of some Machine Learning Algorithms in Python
support-vector-machine machine-learning-algorithms implementation-of-algorithms expectation-maximization-algorithm expectation-maximization support-vector-machines svm kernel-svm kernel-svm-classifier
Language:Jupyter Notebook 0
SarCode / ML-Code-Tutorials-Udemy
Complete Tutorial Guide with Code for learning ML
scikit-learn apriori-algorithm artificial-neural-networks classification-methods heirarchical-clustering kmeans-clustering knearest-neighbor-algorithm kernel-pca kernel-svm logistic-regression natural-language-processing polynomial-regression random-forest decison-trees svm svr ucb
Language:Python 0
kaggle_titanic
yujansaya / kaggle_titanic
Machine learning to predict which passengers survived the Titanic shipwreck
catboost-classifier data-preprocessing data-visualization decision-trees eda feature-importance feature-scaling feature-selection k-nearest-neighbor-classifier kernel-svm logistic-regression naive-bayes-classifier neural-network random-forest-classifier support-vector-classifier xgboost-classifier
Language:Jupyter Notebook 0
dmivilensky / Sliding-for-Kernel-SVM
We consider a problem of minimizing a sum of two functions and propose a generic algorithmic framework (SAE) to separate oracle complexities for each function. We compare the performance of splitting accelerated enveloped accelerated variance reduced method with a different sliding technique.
convex-optimization kernel-svm variance-reduction
Language:Jupyter Notebook
kavyadevd / Face-Pose-Illumination-Classifier
Label classification for three datasets: Face, Pose and Illumination. Bayes Classifier, KNN Classier, Kerner SVM and Boosted SVM algorithms are written from scratch in Python. The results were evaluated and compared to understand the effectr of dimentionality reduction techniques including PCA, LDA and MDA validation using K-fold cross validation.
bayes-classifier boosted-svm k-fold-cross-validation kernel-svm knn lda machine-learning mda pca
Language:Jupyter Notebook
longhongc / CMSC828C-Project1
Face recognition with Bayesian Classifier, KNN, KernelSVM (Linear, RBF, Polynomial), Boosted SVM, PCA, LDA
bayesian-classifier boosted-svm kernel-svm knn lda pca statistical-pattern-recognition
Language:Jupyter Notebook
prat1kbhujbal / Handwritten-digits-Classification
Handwritten digits recognition using logistic regression, Linear with PCA and LDA or dimensionality reduction and Kernel SVM, and Lenet-5 .
handwritten-digit-recognition kernel-svm lenet-5 linear-svm logistic-regression svm-classifier
Language:Python
shwetamustare / Kernel-SVM
Classifying purchase events with introduction of dimensions to linearly separate the data points. The SVM algorithm uses Radial basis Function (RBF) Kernel.
kernel-svm rbf-kernel python jupyter-notebook
Language:Jupyter Notebook
zutshianand / Titanic-Dataset
titanic-kaggle gridsearchcv ensemble-learning voting-classifier bagging boosting logisitic-regression kernel-svm naive-bayes-classifier perceptron
Language:Jupyter Notebook

kernel-svm

srafay / Machine_Learning_A-Z

subhadeep-123 / Breast-Cancer-Detection

mahesh147 / Kernel-SVM

KishanMistri / Music-Genre-Classification

ElefHead / kernel-svm

Joycechidi / MachineLearning

kcg2015 / fiber_cuts_prediction

chen0040 / js-svm

sudeshnapal12 / Machine-Learning-algorithms-Matlab

dimgold / Machine_Learning_Course

dshah98 / Machine_Learning_with_Python

dshah98 / Machine_Learning_with_R

urastogi885 / classify-it

AminKhavari78 / Data-Science-handBook-

andersonpaac / Creddit

bhavya840 / ML-Classification

Ddeepanshu-997 / Kernel-SVM-Classification

lanmar / Python---Wine-quality

najielhachem / Machine-Learning-Algorithms

SarCode / ML-Code-Tutorials-Udemy

yujansaya / kaggle_titanic

dmivilensky / Sliding-for-Kernel-SVM

kavyadevd / Face-Pose-Illumination-Classifier

longhongc / CMSC828C-Project1

prat1kbhujbal / Handwritten-digits-Classification

shwetamustare / Kernel-SVM

zutshianand / Titanic-Dataset